GPU Acceleration and Interactive Visualization for Spatio-Temporal Networks

The thesis is about a GPU-based computation used to defining the structure of a dynamic social or biological network. In particular the work is focused on brain networks computation, which is computationally expensive, with the aim to speed up the process by exploiting the computational power and the architecture of GPU. Using these fast GPU computation of the network structure, the last part of the work is centered on an interactive visualization of the computed networks to allow a researcher to better understand dynamic networks.